Tasks:
- * Advise customers on implementation best practices
- * Build customer system integrations
- * Build data pipelines and connectors
- * Build proof-of-concept solutions
- * Create reusable agent templates and playbooks
- * Debug live deployments and ship fixes
- * Deploy AI agents for enterprise customers
- * Design agent architectures and workflows
- * Engineer prompts and evaluate agent behavior
- * Lead technical discovery
- * Prototype agent capabilities
- * Run technical validations and architecture reviews
- * Translate customer needs into product improvements
- * Write production code to extend agents
Perks/Benefits:
- + Family benefits
- + Flexible time off
- + Health coverage
- + Professional development
- + Team outings
Skills/Tech stack required:
[Agent Frameworks] [Agent Orchestration] [AI Agent] [AI Agent Frameworks] [AI guardrails] [AWS] [Boomi] [Data Modeling] [Docker] [Enterprise Integrations] [ETL] [Evaluation Frameworks] [GCP] [Human-in-the-loop] [Human-in-the-loop workflows] [IPaaS] [JavaScript] [LLMs] [Make] [OAuth] [Postman] [Professional Services] [Professional Services Automation] [Prompt engineering] [Python] [REST APIs] [TypeScript] [Webhooks] [Workato]
Educational requirements:
N/A
Role(s):
[Deployed Engineer] [Engineer] [Forward Deployed Engineer] [Implementation Engineer] [Solutions Engineer]